The graph represents a network of 1,393 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 01:49 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 8-hour, 58-minute period from Sunday, 30 August 2020 at 00:01 UTC to Friday, 11 September 2020 at 09:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1393
Unique Edges : 1478
Edges With Duplicates : 5587
Total Edges : 7065
Number of Edge Types : 5
MentionsInRetweet : 1714
Mentions : 3179
Retweet : 1039
Replies to : 51
Tweet : 1082
Self-Loops : 1158
Reciprocated Vertex Pair Ratio : 0.031596925704526
Reciprocated Edge Ratio : 0.0612582781456954
Connected Components : 114
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 1156
Maximum Edges in a Connected Component : 6688
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.001256
Graph Density : 0.00124596710976888
Modularity : 0.277669
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,393 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 01:49 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 8-hour, 58-minute period from Sunday, 30 August 2020 at 00:01 UTC to Friday, 11 September 2020 at 09:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : corpgov
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[311] #corpgov,togovern [304] gt,gt [152] #corpgov,#ceo [145] #ceo,#cfo [130] #board,#boardofdirectors [129] #fcpa,#corpgov [126] ge,#ge [126] #ge,#fcpa [126] #corpgov,whistleblower [126] whistleblower,seema Top Word Pairs in Tweet in G1:
[51] harvardcorpgov,posted [48] gt,gt [42] covid,19 [41] #corpgov,#esg [35] #corpgov,#ceo [35] #ceo,#cfo [35] #board,#boardofdirectors [35] #boardofdirectors,#directorship [33] #directorship,#governance [31] #fcpa,#corpgov Top Word Pairs in Tweet in G2:
[306] #corpgov,togovern [45] #corpgov,#grc [29] times,#corpgov [25] #corpgov,#esg [21] board,directors [20] womencorpdirs,#wcdglobal2020 [15] #grc,#generalcounsel [14] general,counsel [13] globenewswire,#corpgov [13] #wcdglobal2020,highlight Top Word Pairs in Tweet in G3:
[28] #corpgov,#esg [28] dark,money [27] speaking,despicable [27] despicable,proposed [27] proposed,rule [27] rule,usdol [27] usdol,dark [27] money,fueled [27] fueled,giveaway [27] giveaway,overpaid Top Word Pairs in Tweet in G4:
[243] gt,gt [80] antgrasso,fisher85m [71] gt,#pwc [53] mikequindazzi,cc [53] cc,antgrasso [52] fisher85m,ways [44] ways,#hackers [44] #hackers,#cyberattacks [44] #cyberattacks,disrupt [43] mt,mikequindazzi Top Word Pairs in Tweet in G5:
[95] ge,#ge [95] #ge,#fcpa [95] #fcpa,#corpgov [95] #corpgov,whistleblower [95] whistleblower,seema [95] seema,sapra [90] realdonaldtrump,fbi [90] fbi,potus [90] potus,pmoindia [90] cpdelhi,statedept Top Word Pairs in Tweet in G6:
[101] #corpgov,#ceo [94] #ceo,#cfo [81] #board,#boardofdirectors [80] #boardofdirectors,#directorship [75] #directorship,#governance [62] #esg,#grc [43] #grc,#board [40] #governance,#compensationcommittee [40] #cfo,#chro [39] #compensationcommittee,#auditcommittee Top Word Pairs in Tweet in G7:
[2] braincures,bbcnews [2] bbcnews,pharmafile [2] pharmafile,kerrygrens [2] kerrygrens,aliceosharman [2] aliceosharman,civilsocietyuk [2] civilsocietyuk,sweale [2] sweale,guardian [2] guardian,schneiderleonid [2] do_kinder,anticorruption [2] anticorruption,phrma Top Word Pairs in Tweet in G8:
[7] covid,19 [6] board,members [5] join,#kpmgblc [5] #kpmgblc,conversation [5] conversation,forces [5] forces,shaping [5] shaping,future [5] #covid19,remakes [5] remakes,business [5] time,fundamentally Top Word Pairs in Tweet in G9:
[6] #governance,#corpgov [6] recomiendo,hilo [6] hilo,bridgethegaplat [6] bridgethegaplat,explica [6] explica,mucha [6] mucha,claridad [6] claridad,precisiã [6] precisiã,importante [6] importante,sistema [5] titarules,recomiendo Top Word Pairs in Tweet in G10:
[19] economics,environment [19] environment,social [19] social,equity [19] equity,sustmeme [19] sustmeme,magazine [19] magazine,stories [13] ceos,donate [13] donate,charities [13] charities,affiliated [13] affiliated,directors Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: